Context-Enhanced Information Fusion: Boosting Real-World Performance with Domain Knowledge (Advances in Computer Vision and Pattern Recognition)

Llinas, James, Lauro Snidaro Erik Blasch u. a.:

ISBN 10: 3319289691 / ISBN 13: 9783319289694

Published by Springer, 2016

About this Item

Seiten; 9783319289694.2 Gewicht in Gramm: 29.

Seller Inventory # 667197

Bibliographic Details

• Title: Context-Enhanced Information Fusion: Boosting Real-World Performance with Domain Knowledge (Advances in Computer Vision and Pattern Recognition)
• Publisher: Springer
• Publication Date: 2016
• Language: English
• ISBN 10: 3319289691
• ISBN 13: 9783319289694
• Binding: hardcover
• Condition: Sehr gut
• Weight: 29 grams
• Seller catalogs:
  • Varia

About this title

Synopsis

This text reviews the fundamental theory and latest methods for including contextual information in fusion process design and implementation. Chapters are contributed by the foremost international experts, spanning numerous developments and applications. The book highlights high- and low-level information fusion problems, performance evaluation under highly demanding conditions, and design principles. A particular focus is placed on approaches that integrate research from different communities, emphasizing the benefit of combining different techniques to overcome the limitations of a single perspective. Features: introduces the terminology and core elements in information fusion and context; presents key themes for context-enhanced information fusion; discusses design issues in developing context-aware fusion systems; provides mathematical grounds for modeling the contextual influences in representative fusion problems; describes the fusion of hard and soft data; reviews a diverse range of applications.

About the Author

Dr. Lauro Snidaro is an Assistant Professor in the Department of Mathematics and Computer Science at the University of Udine, Italy. Dr. Jesús García is an Associate Professor in the Computer Science and Engineering Department at the Carlos III University of Madrid, Spain. Dr. James Llinas is an Emeritus Professor in the Department of Industrial and Systems Engineering, and in the Department of Electrical Engineering, at the State University of New York at Buffalo, NY, USA. Dr. Erik Blasch is a Principal Scientist at the Air Force Research Laboratory Information Directorate (AFRL/RIEA) in Rome, NY, USA. The editors and contributors have all been leading experts within the international society of information fusion (ISIF).